FLASH Irradiation Modulates Immune Responses and Accelerates Lung Recovery: A Single-Cell Perspective
Single-cell RNA-seq · mouse · 15 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 15 samples: 5 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- FLASH Irradiation Modulates Immune Responses and Accelerates Lung Recovery: A Single-Cell PerspectiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE298566_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1269944 and SRA study SRP588870. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9017387 Sham_1 Sham
- GSM9017388 Sham_2 Sham
- GSM9017389 Sham_3 Sham
- GSM9017390 CONV_D1_1 CONV_D1
- GSM9017391 CONV_D1_2 CONV_D1
- GSM9017392 CONV_D1_3 CONV_D1
- GSM9017393 FLASH_D1_1 FLASH_D1
- GSM9017394 FLASH_D1_2 FLASH_D1
- GSM9017395 FLASH_D1_3 FLASH_D1
- GSM9017396 CONV_D7_1 CONV_D7
- GSM9017397 CONV_D7_2 CONV_D7
- GSM9017398 CONV_D7_3 CONV_D7
- GSM9017399 FLASH_D7_1 FLASH_D7
- GSM9017400 FLASH_D7_2 FLASH_D7
- GSM9017401 FLASH_D7_3 FLASH_D7
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell, lung
- GSE276180 Single-cell temporal landscape of tumor microenvironment of lung cancer and lung metastases 37 samples shares single-cell, lung
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares single-cell, lung
- GSE296297 Single-cell gene expression profiles of mice lung tissue under PM2.5 exposure 26 samples shares single-cell, lung
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares single-cell, lung
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares single-cell, lung
- GSE249931 Temporal single-cell profiling of distinct mesenchymal, epithelial, endothelial, and immune cell lineages in the lung after injury 17 samples shares single-cell, lung
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares single-cell, lung
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.